Triple
T2845135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reichsgau Wartheland |
E62564
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Września
Września is a town in west-central Poland known for its historical role in Polish resistance to Germanization, particularly the 1901 school strike.
|
E304121
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Września | Statement: [Reichsgau Wartheland, containsCity, Września]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Września Context triple: [Reichsgau Wartheland, containsCity, Września]
-
A.
Automne
Automne is a river in northern France that serves as a tributary of the Oise.
-
B.
Autumn
"Autumn" is a brief, imagist-style poem by T. E. Hulme that vividly captures the mood and atmosphere of the fall season through precise, concrete imagery.
-
C.
Octobri Mense
Octobri Mense is an 1891 encyclical letter by Pope Leo XIII that emphasizes the importance of the Rosary and Marian devotion, particularly during the month of October.
-
D.
Oktyabrsk
Oktyabrsk is a small industrial city in Russia located on the Volga River within Samara Oblast.
-
E.
Fall
"Fall" is a globally popular Afrobeats song by Nigerian artist Davido, known for its catchy melody and significant international chart success.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Września Triple: [Reichsgau Wartheland, containsCity, Września]
Generated description
Września is a town in west-central Poland known for its historical role in Polish resistance to Germanization, particularly the 1901 school strike.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Września Target entity description: Września is a town in west-central Poland known for its historical role in Polish resistance to Germanization, particularly the 1901 school strike.
-
A.
Automne
Automne is a river in northern France that serves as a tributary of the Oise.
-
B.
Autumn
"Autumn" is a brief, imagist-style poem by T. E. Hulme that vividly captures the mood and atmosphere of the fall season through precise, concrete imagery.
-
C.
Octobri Mense
Octobri Mense is an 1891 encyclical letter by Pope Leo XIII that emphasizes the importance of the Rosary and Marian devotion, particularly during the month of October.
-
D.
Oktyabrsk
Oktyabrsk is a small industrial city in Russia located on the Volga River within Samara Oblast.
-
E.
Fall
"Fall" is a globally popular Afrobeats song by Nigerian artist Davido, known for its catchy melody and significant international chart success.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1b58c88190b45d8c5a76dc52ac |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d850b481909850ff5e89021824 |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afe990ce088190b42b20037c1eef3f |
completed | March 10, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00d04f42081909d59e1ad1bec6c34 |
completed | March 10, 2026, 12:22 p.m. |
Created at: March 6, 2026, 10:02 p.m.